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Wavelets pp 165-187 | Cite as

Selection of Base Wavelet

  • Robert X. Gao
  • Ruqiang Yan
Chapter

Abstract

One of the advantages of wavelet transform for signal analysis is the abundance of the base wavelets developed over the past decades – there are a total of 13 wavelet families documented in the MATLAB library. From such abundance arises a natural question of how to choose a base wavelet that is best suited for analyzing a specific signal. The question is valid, since the choice in the first place may affect the result of wavelet transform at the end. As an example, Fig. 11.1 (top row, left) illustrates an impulsive signal and how it may appear as a time series (top row, right) in real-world applications.

Keywords

Mutual Information Wavelet Coefficient Relative Entropy Shannon Entropy Base Wavelet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringUniversity of ConnecticutStorrsUSA
  2. 2.School of Instrument Science and EngineeringSoutheast UniversityNanjingChina, People’s Republic

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